Semi-quantitative Dust Hazard Analysis: Advantages and Limitations of Using a Risk Matrix in DHA

Abstract

The management of dust hazards within industrial environments remains a critical concern, as sadly testified by the catastrophic events occurred in recent history. Dust Hazard Analysis (DHA) is a risk assessment technique used for identifying, managing, and mitigating the risks related to the handling, production, and storage of combustible dusts. This study explores the efficacy of employing a semi-quantitative approach within the framework of DHA, leveraging a Risk Matrix to assess and define the severity and likelihood of potential hazardous events associated with combustible dust. The semi-quantitative method presented herein integrates qualitative expert judgments with quantitative data, fostering a comprehensive evaluation of various scenarios involving dust-related hazards: central to this approach is the utilization of a Risk Matrix, where severity and likelihood classes are intersected to generate risk levels associated with identified dust-related scenarios. This allows the prioritization of mitigation strategies, focusing resources on high-risk scenarios while acknowledging lower-risk occurrences. Furthermore, the use of a common Risk Matrix facilitates the decision-making process, allowing the same benchmark to be applied to the recommendations and actions emerging from different risk assessment techniques (e.g., HazOp). The study underscores the value of a semi-quantitative approach in DHA, highlighting the potential and the limitations of the current model, offering a structured methodology that aids stakeholders in decision-making processes concerning risk mitigation and control measures, ensuring the safety and integrity of industrial operations.